The field of pain medicine is at a crossroads given the epidemic of addiction and overdose deaths from prescription opioids. Cannabis and its active ingredients, cannabinoids, are a much safer therapeutic option. Despite being slowed by legal restrictions and stigma, research continues to show that when used appropriately, cannabis is safe and effective for many forms of chronic pain and other ...

This paper proposes a method for extracting high-level rules for expository dialogue generation. The rules are extracted from dialogues that have been authored by expert dialogue writers. We examine the rules that can be extracted by this method, focusing on whether different dialogues and authors exhibit different dialogue styles.

The present research investigates second law analysis of laminar flow over a backward facing step (BFS). Entropy generation due to separation, reattachment, recirculation and heat transfer is studied numerically. Local entropy generation distributions were obtained by solving momentum, energy, and entropy generation equations. The effect of dimensionless temperature difference number (τ) and Br...

This paper describes our research-in-progress into providing contentagnostic procedural content generation for computer games via answer set programming and a formal semantic description of the design space. Existing generative approaches are often closely coupled to a particular form of content and/or game, limiting opportunities for re-use — a dungeon level generator in one game is substantia...

The high−repeat frequency ultrafast electrical pulse generation technology is mainly based on switching devices combined with circuits to generate pulses repetition frequencies of several kilohertz and a rise−time nanoseconds or even picoseconds. This the basis for research studies one key technologies that has received wide attention from various countries. problems be solved are high re−frequ...

We present DEGARI (Dynamic Emotion Generator And ReclassIfier), an explainable system for emotion attribution and recommendation. This relies on a recently introduced commonsense reasoning framework, the TCL logic, which is based human-like procedure automatic generation of novel concepts in Description Logics knowledge base. Starting from ontological formalization emotions Plutchik model, know...

Face morphing attacks aim at creating face images that are verifiable to be the of multiple identities, which can lead building faulty identity links in operations like border checks. While a morphed detector (MFD), training on all possible attack types is essential achieve good detection performance. Therefore, investigating new methods drives generalizability MADs. Creating was performed imag...